Find work in Canada.

333,762 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 7 mins ago
Engineer, Capital Projects - Referral Eligible
Trans Mountain
Edmonton, AB
Trans Mountain Corporation operates Canada’s only pipeline system transporting oil products to the West Coast. We deliver approximately 890,000 barrels of petroleum products each day…
Added 20 mins ago
EI
Requirements Management Lead
Egis in Canada
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
…single point of accountability for requirements configuration control, change management, and compliance demonstration across all project…
Added 20 mins ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 20 mins ago
EI
Water Resources Engineer
Egis in Canada
Toronto, ON
- $85,000 to $115,000 CAD / year
- Full-time
Intermediate Water Resources Engineer based in Toronto supporting municipal infrastructure and land development projects. The role operates within multidisciplinary engineering teams…
Added 22 mins ago
Q
Engineer in Training - Protection & Control
Qualus
Vancouver, BC
- Full-time
…substation project delivery. You will contribute to protection, control, and metering system designs for substations ranging from 12 kV to 500 kV, supporting projects from early concept…
Added 37 mins ago
EG
Systems Engineering Lead
Egis Group
Toronto, ON
- $150,000 to $190,000 CAD / year
- Full-time
…transit systems including rolling stock, signalling and train control, traction power infrastructure, fare collection systems, and operations and maintenance facilities. Working across…
Added 37 mins ago
EG
Water Resources Engineer, Land Development
Egis Group
Edmonton, AB
- $85,000 to $115,000 CAD / year
- Full-time
We are currently hiring for an Intermediate Water Resources Engineer based in Edmonton supporting municipal infrastructure and land development projects. The role operates within…
Added 37 mins ago
EG
Systems Engineer – Industrial Control and Communications Systems
Egis Group
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Systems Engineer – Industrial Control and Communications Systems based in Toronto, Ontario, Canada. The role is responsible for the design, integration, commissioning, operation, and…
Added 50 mins ago
EI
Systems Engineering Lead
Egis in Canada
Toronto, ON
- $150,000 to $190,000 CAD / year
- Full-time
…transit systems including rolling stock, signalling and train control, traction power infrastructure, fare collection systems, and operations and maintenance facilities. Working across…
Added 50 mins ago
EI
Water Resources Engineer, Land Development
Egis in Canada
AB · Edmonton, AB
- $85,000 to $115,000 CAD / year
- Full-time
We are currently hiring for an Intermediate Water Resources Engineer based in Edmonton supporting municipal infrastructure and land development projects. The role operates within…
Added 1 hour ago
F
Webber - Field Engineer - Infrastructure Management
Ferrovial
Ottawa, ON · CAN - Webber - Infra - Ottawa
- Full-time
The Field Engineer assists with estimating, project controls, schedule updates, document control, quality control project documentation, RFIs, change orders, field accounting, purchasing,…
Added 1 hour ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
DORA, NIS2, ISO 27001:2022, SEC Cyber-Disclosure: mapped to exactly which Arkion capability satisfies each control.
Added 1 hour ago
LS
Geotechnical Engineer
Lake Shore Gold
Timmins, ON
- Full-time
…Mineralization is associated with the Porcupine-Destor fault system within the Abitibi greenstone belt, with ore mined by narrow vein longhole stoping methods. Ore is then transported to…
Added 1 hour ago
Développeur(-euse) logiciel – Intégration / Backfill Integration Developer – Canada (Montreal)
mthree Recruiting Portal
Montreal, QC
As a software integration engineer, you will contribute to the integration, deployment, and support of critical technology systems and services used by trading and risk management teams…
Added 1 hour ago
Automation Engineer
LAPORTE L.E.I.
Calgary, AB · AB · Lethbridge, AB · Vancouver, BC
Automation Engineer, Vancouver, BC - Calgary, AB - Edmonton, AB or Lethbridge, AB
Added 1 hour ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 1 hour ago
I
Senior System Administrator
ICES
Toronto, ON
- Contract
ICES is seeking a Senior System Administrator to join our Technology department. The Senior System Administrator is responsible for building, maintaining, and supporting Information…
Added 1 hour ago
OP
Electrical, Plant Engineer/Officer
Ontario Power Generation
Timmins, ON
- Full-time
Ontario Power Generation (OPG) is looking for a dynamic, strategic and results-driven professional to join our team in the role of Electrical, Plant Engineer/Officer.
Added 1 hour ago
AI
Production Support Engineer
Aptino, Inc.
Toronto, ON
- $45 to $50 CAD / hour
- Contract
We are looking for an experienced Application/Production Support Engineer to provide L2/L3 production support for enterprise applications supporting Global Investment Banking and Capital…
Added 1 hour ago
V
Instrument Operator Technician (6 Month Contract)
VitalBio
Oakville, ON
- Full-time
…electromechanical prototypes. This is not a passive role; it requires an engineer’s mindset to spot anomalies, a coder’s logic to automate tasks, and a scientist’s rigour regarding data…
Added 2 hours ago
IC
Senior System Administrator
ICES Central
Toronto, ON
- Full-time
- Temporary
ICES is seeking a Senior System Administrator to join our Technology department. The Senior System Administrator is responsible for building, maintaining, and supporting Information…
Added 2 hours ago
W
Technical Consultant I
Worley
Calgary, AB · Edmonton, AB
- Full-time
Good understanding of control system design principles and engineering deliverables.
Added 2 hours ago
Maintenance Manager
Bunge
Hamilton, ON
…is responsible to the Plant Manager and Regional Reliability Engineer for the safe, effective and efficient use of all manpower, materials, parts and other resources under their control as…
Added 2 hours ago
DO
Electronic and Electrical Engineer
Dongguan Onlitex Electronic Co., Ltd
Major, SK
- Full-time
Familiar with the working principle of automatic electrical control;
Added 2 hours ago
LM
Technical Co-op I: Software Development Intern
Lockheed Martin
Calgary, AB
- Full-time
As part of the Skunkworks team, you'll have the opportunity to work on cutting edge next generation ground control system platforms as well as computer vision and AI applications in the air…

Morningstar

Senior software engineer: Applied AI

Toronto, ON, Canada

$90,489.00-$132,711.00 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $90,489.00-$132,711.00
Job type: Full-time
Experience: 5+ years of software engineering experience, including production API and data-pipeline design.
Posting language: English
Posted: Sep 18, 2026

Original job description

About Morningstar

Morningstar unites problem solvers with a clear goal: helping investors achieve their financial objectives. As a leading investment research and data company, we stand out by how we apply our insights to serve a broad range of users. Our independent investment research, powered by cutting-edge technology and design, provides tailored solutions that meet users' needs. With a strong foundation in data and innovation, we deliver comprehensive services to investors worldwide, empowering better decisions for individuals and those managing money for millions.

The Role

We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces, and evaluation frameworks that make AI-driven products reliable enough to depend on. This is applied engineering rather than research; success is measured in shipped, maintainable systems. You may be a strong fit if you love working within a landscape that changes quickly, creating durable architectures with swappable parts, so new models and techniques are adopted on evidence.

The role encompasses fluency across cloud architecture and local model inference, evaluation design, agentic workflows and orchestration, API and tool design, and AI-assisted data enrichment. It also requires the engineering rigor to establish reliable sources of truth, detect regressions, and recognize when a deterministic solution is more appropriate than an AI-driven one.

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

This position is based in our Toronto office. We follow a hybrid policy of at least 4 days onsite.

Job Responsibilities

Integrate with hosted LLM inference (via centralized model gateway infrastructure) for extraction, classification, and agent orchestration workloads; evaluate open-weight models against hosted options for cost and performance tradeoffs.

Design and maintain adapters that sync source systems (CMS, event platforms, editorial, research libraries) into a governed dataset without duplicating source-of-record logic.

Build and maintain an eval harness: curate golden questions, catch regressions before release, and treat eval results as the gate for shipping.

Design MCP tools and API/GraphQL interfaces that separate "fuzzy" retrieval (ranked candidates, confidence scores) from "exact" governed lookups (deterministic, provenance-carrying).

Build and extend the pipeline that validates, resolves, and versions governed entities into a serving layer.

Design and operate LLM-driven extraction and classification agents that propose structured data for human review rather than auto-publishing unreviewed AI output.

Own structured content modeling against a headless CMS, including schema and versioning decisions that other teams depend on.

Instrument pipelines and served surfaces for freshness, adoption, and answer-quality telemetry.

Participate in and help run the weekly eval review and the biweekly skill-library session, harvesting reusable agent tooling for the team.

Mentor engineers being reskilled into applied AI work, particularly around eval design and agentic-coding practices.

Contribute governance and vocabulary decisions upstream to org-wide standards where relevant, rather than duplicating them.

Qualifications

5+ years of software engineering experience, including production API and data-pipeline design.

Comfort working with agentic coding tools daily as a core part of the workflow.

Hands-on production experience integrating LLMs: Skills, MCP, RAG, structured outputs, and tool/function calling.

Strong proficiency in Python across eval tooling, service-level code, and API development (FastAPI or similar), plus working proficiency in TypeScript/Node.js for application integrations.

Experience deploying and operating production services in AWS (or equivalent), including containerized workloads and infrastructure-as-code.

Security and privacy judgment in AI systems: handling sensitive data appropriately, and designing against failure modes like prompt injection, data leakage through prompts, and unsafe or unattributed model output.

Experience operating production systems against latency, reliability, and cost targets, including token-cost management for inference workloads.

Evaluation literacy: you can describe an eval you built, what it caught, and how you handled canonical truth, variance, and regression cases.

Experience with REST/GraphQL API design.

Solid understanding of data pipeline patterns: idempotency, versioning, and staged architectures.

Explicitly not required: formal model training or ML research credentials (e.g., pretraining, fine-tuning research). This is an applied systems role; we're looking for builders, not researchers.

Strong written communication. You can write a clear design doc, explain a tradeoff to a non-engineer, and document decisions others will build against.

Creative problem solver comfortable operating in ambiguity, with a builder's bias toward shipping over ceremony.

Nice to have

Experience evaluating or benchmarking open-weight models for cost/performance (inference-time evaluation, not training).

Experience with cloud-hosted inference services (e.g., Amazon Bedrock, Azure AI/Cognitive Services) and centralized LLM gateways (e.g., LiteLLM).

Experience with headless CMS platforms and structured content modeling.

Experience in a regulated or compliance-sensitive domain where provenance and auditability matter.

Base Salary Compensation Range

$90,489.00-$132,711.00

Incentive Target Percentage

12.5% Annual

100_MstarResCanad Morningstar Research, Inc. (Canada) Legal Entity

Apply About employer

More about this job

Responsibilities

The role involves building and maintaining applied AI systems, including data pipelines, LLM integrations, and agentic workflows to bring AI capabilities into production. You will also design evaluation harnesses and ensure the reliability and governance of AI-driven data extraction and classification processes.

Requirements

Candidates must have 5+ years of software engineering experience with strong proficiency in Python and production-level API and data pipeline design. Hands-on experience with LLM integration, RAG, and cloud-based infrastructure is required, along with the ability to design maintainable systems in a fast-paced environment.

Skills

Python
TypeScript
Node.js
AWS
LLM
RAG
FastAPI
GraphQL
REST
Data pipelines
Cloud architecture
Agentic workflows
Infrastructure-as-code
Containerization
Evaluation design
Structured content modeling

Benefits

Hybrid work environment
Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Applied AI
LLM
Data Pipelines
Agentic Workflows
Python
TypeScript
Node.js
AWS
FastAPI
GraphQL
REST
Infrastructure-as-code
Containerization
RAG
Evaluation Harness
Cloud Architecture
Headless CMS
Telemetry
Governance
Prompt Injection
Data Enrichment
Token-cost Management
System Reliability
Version Control
Idempotency
Structured Data
Provenance
Auditability
Investment Research

Report this job